Business administration · AI Customer Service

AI customer service: a chatbot and a Hungarian-speaking phone voice assistant (voicebot)

Why is your team answering the same questions all day?

Where is my order, when will the invoice come, how can I complain? The same twenty questions arrive a hundred times a day, and they eat up the team’s time. AI Customer Service answers in Hungarian by chat, email and phone, checks the status of orders and invoices in the ERP, and whatever it cannot answer, it hands over to a colleague as a ticket, together with the history.

First channel in use within 6-8 weeks · standalone or connected to the ERP · on your own servers too

Does this sound familiar?

When peaks come unannounced, and headcount does not follow

This is how customer service and claims leaders tend to put it.

After a storm

Not enough people for mass claims

“The next storm must not overturn processing.”

Head of claims, large enterprise

After a campaign

Service levels drop for days

“We shouldn’t find out after the campaign that we can’t handle the calls.”

Call centre manager, large enterprise

During the shift

Routine calls weigh on the shift

“My colleagues should deal with the difficult cases, not routine calls.”

Call centre manager, large enterprise

All day long

The same questions all day

“I shouldn’t have to spend all day telling people on the phone where their delivery is.”

Head of customer service, mid-sized company

The director asks

Headcount can only be requested on gut feeling

“I don’t want to ask for one more person on gut feeling alone.”

Head of customer service, mid-sized company

After the call

The follow-up takes longer than the call

“Note-taking shouldn’t take longer than the call itself.”

Call centre manager, large enterprise

Not sure yet whether this is what you need?

Our expert will tell you whether it fits your situation.

What is at stake

After a storm or a flood, the number of enquiries multiplies within days, but the size of the team does not.

That is when it becomes clear how much time goes on routine questions, and whether the complaint handling deadlines can be met with the existing headcount. If service levels drop, the head of customer service is held to account, yet asking for more headcount without numbers is hard.

9-10%

is how much wages may rise in 2026, while customer service staff are hard to replace.

Source: Telex, Hungarian Central Statistical Office (KSH) data

How it works

From question to closure: what the machine cannot handle, a colleague takes care of

01

A question arrives

Via website chat, email or phone. The system identifies the customer.

02

An answer from the knowledge base and live data

It answers from the company’s knowledge base, and checks the status of an order or invoice in the connected ERP or CRM.

03

What it cannot answer, it hands over

In that case it does not guess. It opens a ticket, attaches the history and the call summary, and hands it over to a colleague.

04

A person closes the complaint

A complaint is always closed by a colleague. And every month you get a report on what customers asked about and what had no answer.

Chatbot and phone voice assistant in Hungarian

The same response engine, in three set-ups

You do not need to replace any system; we start from what the company already has. The phone voice assistant answers from the same knowledge and the same data as the chat.

If you have an ERP and a ticketing system

Connected

It reads from the ERP and the CRM (orders, deliveries, invoices, balances), and writes to your existing ticketing system.

If you have no ticketing system

On the platform

It uses the ticketing, order and partner modules of the Omnit business platform, so the agent sees all of the customer’s data on one screen.

The quickest start

Standalone

It answers from the knowledge base only, and forwards whatever it cannot answer to a colleague by email.

What you get

Routine to the machine, hard cases to a colleague

Every month you get numbers on what loads customer service, so your next headcount request does not have to rest on gut feeling.

  • 01Website chat, email responder and phone voice assistant, in Hungarian
  • 02Customer identification
  • 03Live data on orders and invoices
  • 04Automatic tickets, including a summary of the phone call
  • 05Handover to a colleague with the history, so the customer does not have to start over
  • 06Monthly report on questions and unanswered topics
Before you decide

Worth knowing

Who it is for: heads of customer service, COOs and commercial directors at companies with many customer contacts: utilities, transport, retail and wholesale, logistics, finance, insurance, iGaming.

We can show it live: we have a working Hungarian-speaking phone demo that answers from a webshop’s question-and-answer knowledge base and website. If someone speaks to it in another language, asks about an ongoing case, or it cannot find an answer, it transfers the call to a live agent, and every call is recorded and transcribed. We show the web chat on another demo built on public data, in writing and by voice.

What we need from you

Written material it can answer from (FAQs, policies, product descriptions). For the phone channel, a phone system that can be connected; for live data, access to the ERP or the CRM.

Rollout

Introducing the first channel (chat or email) takes 6-8 weeks, and the phone channel a further 4-6 weeks. The price depends on the number of channels and connected systems.

What it builds on

Chat and a Hungarian voice assistant, intelligent search in the company’s knowledge base, the Mail Assistant’s response engine, the ticketing module and partner master of the Omnit business platform, and ERP and CRM connections.

What it does not solve

It does not replace the whole customer service team, it does not take over legal responsibility for complaint handling, and it will not fix a bad process on its own.

The AI Customer Service product sheet

What we did not cover on this page: the steps from a small first step to the complete solution, why it pays to go this way, and how we work along the way. Feel free to forward it to your colleagues.

Not sure whether customer service is the place to start?

In 2-4 weeks, the Situation Assessment shows where most time goes on manual work and how many hours a week that adds up to. It costs HUF 199,000 + VAT, which we deduct from the price of your first development. If we do not find at least 20 hours a week of replaceable manual work, we refund the fee.

Frequently asked questions

What customer service leaders usually ask

It opens a ticket and hands it over to a colleague. The ticket contains the history and a summary of the phone call, so the customer does not have to start over.

No. It takes routine questions off the team, a person always closes complaints, and legal responsibility for complaint handling stays with the company.

Not necessarily. Without a connection, it answers from the knowledge base. For the current status of orders and invoices we connect it to the ERP or the CRM, and it opens tickets in your existing ticketing system or on the Omnit business platform.

We introduce the first channel (chat or email) in 6-8 weeks; the phone channel takes a further 4-6 weeks.

The price depends on the number of channels and connected systems. It consists of a one-off set-up fee, a monthly fee and a fee per closed conversation. We give you an exact quote after the Situation Assessment or a conversation with one of our experts.

Also worth a look

Further reading

Before AI answers your customers

What does AI customer service cost, what can it do in Hungarian, and where are its limits?

What Does an AI Customer Service Assistant Cost
Expert blog
What Does an AI Customer Service Assistant Cost
How much does an AI customer service assistant cost? Explore the factors determining implementation and operating expenses.
Why Are LLMs Weaker in Hungarian
Expert blog
Why Are LLMs Weaker in Hungarian
Why do language models struggle with Hungarian? Explore the linguistic, training, and technical factors behind performance differences.
When Every Claim Becomes a Reputation Risk
Expert blog
When Every Call Becomes a Moment of Truth
A single customer call can change everything. Discover how AI analyzes conversations and improves customer service decisions.
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Business administration · AI Customer Service

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